Why System Integration is Essential For Pioneering Data Managers

With new avenues for data management constantly arising, it can become even more stressful and tedious to make sure data management teams are getting every essential insight from their data.

With data platforms being more present than ever, it is becoming common for users to become bogged down with sourcing and organising data from various platforms. When doing this, it is easy for analysts to slip up with manual data entry and formatting, which has time and time again turned hours of well worked data into inaccurate insights.

Since the arrival of data driven business, and the endless sources of data at business’ disposal, it is becoming more common for data management teams to make the shift towards automated data integration. Although many businesses opt for simple data integration to ensure the base task of amalgamating data is done, others are now seeing that there are options beyond basic integration. 

Down to the severity of poor data management, teams are now opting to work alongside pioneering programmers to automate and optimise their data handling processes. This is down to the tedious, and often problematic processes arising when it comes to organising a standardised way of integrating data pools. Professional VBA programmers are able to not only optimise this process to save time, but also to ensure no errors arise when integrating data in the future.

With the possibilities of Excel and VBA programming being evergreen, it is possible for teams to not only automate their data integration, but also their data analysis, error-checking and data visualisations; assisting in the overall optimisation of their data management.

Automating common, repetitive tasks saves hours, potentially days of time, both in the short and long-term, by ensuring both initial and prolonged interaction with any data is done efficiently and accurately; ensuring that no time wasted through manual approaches.

Not only does automating data integration and management save time through eliminating manual processes themselves, but by also ensuring that no error occurs through the tedious manual processes. Any errors that do occur are able to be noticed with ease, which allows users to work with data with full confidence and further their data.

Since businesses have begun the switch towards custom data management systems and data integration automation, they have been able to save hours of time not only in data entry, but in error-handling and visualisations; optimising their overall data handling processes, which leaves them with more time to get every insight from in-depth data.